In this paper, we present a concept base novel architecture for intelligent energy efficient applications using Internet of Things. This architecture provides the user-friendly and compatible environment, by predicting the set- point using machine learning techniques. We conduct a real-time implement on the testbed to verify the correctness of the system. Moreover, we have used three machine learning techniques (support vector machine, k-nearest neighbor, and linear regression) to predict the set-point for all the beneficiaries. We found that these techniques give up to 87.41976% accuracy for prediction of set-point. Additionally, we observe that with the use of this mechanism we can save up to 20% electricity consumption.


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    Titel :

    Energy Efficient Smart Working Environment Using Internet of Things


    Beteiligte:
    Vikash (Autor:in) / Mishra, Lalita (Autor:in) / Chouhan, Sajan D. (Autor:in) / Varma, Shirshu (Autor:in)


    Erscheinungsdatum :

    2019-04-01


    Format / Umfang :

    21576593 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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